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022 _a21606544
040 _aMSU
_bEnglish
_cMSU
_erda
050 0 0 _aHC79 JOU
100 1 _aBlanco, Carlos Dionisio Pérez
_eauthor
245 1 0 _aDesigning optimum insurance schemes to reduce water overexploitation during drought events:
_ba case study of La Campiña, Guadalquivir River Basin, Spain/
_ccreated by Carlos Dionisio Pérez Blanco and Carlos Gomez
264 1 _aNew York
_bTaylor and Francis
_c2013.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aJournal of environmental economics and policy
_vVolume 2, number 1
520 3 _aIn several arid and semi-arid Mediterranean basins, water deficits in irrigated agriculture during drought events are relieved by illegal abstractions from aquifers. Illegal abstractions are largely tolerated by the authorities and are regarded by farmers as a reliable and inexpensive form of insurance against drought. This framework of illegal abstractions is responsible for the structural water deficit that is characteristic of many Southern European regions. The situation is changing with the implementation of River Basin Management Plans and Drought Management Plans, which demand improvement in the quantitative and qualitative status of water bodies, improved surveillance of groundwater resources and more rigorous sanctions for illegal groundwater abstractions. However, these plans raise distribution and equity issues and may not be sufficient to stop illegal abstractions in certain areas. Provided that the new framework is properly enforced, private drought insurance has the potential to stabilise income levels and reduce the incentives for overexploitation during drought events. This paper develops a methodology to estimate the basic risk premium and the potential water savings of private drought insurance. This methodology is based on concatenated stochastic models (rainfall-stock), a decision model and agronomic production functions, and is illustrated through the application of the model in the La Campiña agricultural district in the Guadalquivir River Basin, Spain.
650 _aDrought insurance
_vStochastic models
_xDrought management plan
_zSpain
700 1 _aGómez, Carlos Mario Gómez
_eco author
856 _uhttps://doi.org/10.1080/21606544.2012.745232
942 _2lcc
_cJA
999 _c165121
_d165121